Lukas Malburg

409 total citations
14 papers, 100 citations indexed

About

Lukas Malburg is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Lukas Malburg has authored 14 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Information Systems, 6 papers in Industrial and Manufacturing Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Lukas Malburg's work include Business Process Modeling and Analysis (8 papers), Digital Transformation in Industry (6 papers) and Flexible and Reconfigurable Manufacturing Systems (4 papers). Lukas Malburg is often cited by papers focused on Business Process Modeling and Analysis (8 papers), Digital Transformation in Industry (6 papers) and Flexible and Reconfigurable Manufacturing Systems (4 papers). Lukas Malburg collaborates with scholars based in Germany, Switzerland and Austria. Lukas Malburg's co-authors include Ralph Bergmann, Ronny Seiger, Barbara Weber, Stefanie Rinderle‐Ma, Estefanía Serral, Juergen Mangler, Norbert Kühn, Martin Ruskowski, Jens Schneider and Guido Dartmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Engineering Applications of Artificial Intelligence and Journal of Manufacturing Systems.

In The Last Decade

Lukas Malburg

10 papers receiving 96 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lukas Malburg Germany	5	57	45	20	18	13	14	100
Ronan Champagnat France	6	24 0.4×	43 1.0×	15 0.8×	27 1.5×	5 0.4×	18	112
Irlán Grangel-González Germany	7	96 1.7×	15 0.3×	32 1.6×	50 2.8×	4 0.3×	14	160
Kimon Batoulis Germany	5	11 0.2×	76 1.7×	48 2.4×	28 1.6×	7 0.5×	9	94
Martin Ringsquandl Germany	7	24 0.4×	6 0.1×	11 0.6×	62 3.4×	8 0.6×	14	132
Laura Daniele Netherlands	8	11 0.2×	12 0.3×	30 1.5×	41 2.3×	40 3.1×	18	104
Alfredo Bolt Netherlands	3	17 0.3×	69 1.5×	51 2.5×	40 2.2×	2 0.2×	4	101
Mohammadreza Fani Sani Germany	7	8 0.1×	62 1.4×	44 2.2×	28 1.6×	3 0.2×	12	85
Henning Mersch Germany	5	38 0.7×	15 0.3×	22 1.1×	7 0.4×		11	66
Ognjen Savković Italy	6	11 0.2×	9 0.2×	14 0.7×	56 3.1×	10 0.8×	17	83
Matthias Kunze Germany	5	6 0.1×	47 1.0×	40 2.0×	25 1.4×	4 0.3×	12	65

Countries citing papers authored by Lukas Malburg

Since Specialization

Citations

This map shows the geographic impact of Lukas Malburg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lukas Malburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Malburg more than expected).

Fields of papers citing papers by Lukas Malburg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Malburg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lukas Malburg. The network helps show where Lukas Malburg may publish in the future.

Co-authorship network of co-authors of Lukas Malburg

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Malburg. A scholar is included among the top collaborators of Lukas Malburg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lukas Malburg. Lukas Malburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Malburg, Lukas, et al.. (2025). Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance. Engineering Applications of Artificial Intelligence. 145. 110152–110152. 3 indexed citations

Malburg, Lukas, et al.. (2024). Towards Flexible Control of Production Processes: A Requirements Analysis for Adaptive Workflow Management and Evaluation of Suitable Process Modeling Languages. Processes. 12(12). 2714–2714.

Katić, Darko, Ralph Bergmann, Simon Bergweiler, et al.. (2024). EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing. KI - Künstliche Intelligenz. 39(2). 161–166. 2 indexed citations

Malburg, Lukas, et al.. (2023). Applying MAPE-K control loops for adaptive workflow management in smart factories. Journal of Intelligent Information Systems. 61(1). 83–111. 24 indexed citations

Mangler, Juergen, et al.. (2023). DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs. Future Internet. 15(3). 109–109. 7 indexed citations

Malburg, Lukas, Florian Schäfer, Jens Schneider, et al.. (2023). A framework for AI-based self-adaptive cyber-physical process systems. it - Information Technology. 65(3). 113–128. 2 indexed citations

Malburg, Lukas, et al.. (2023). IoT-enriched event log generation and quality analytics: a case study. it - Information Technology. 65(3). 128–138. 1 indexed citations

Malburg, Lukas, et al.. (2023). Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0. Engineering Applications of Artificial Intelligence. 126. 106727–106727. 4 indexed citations

Seiger, Ronny, Lukas Malburg, Barbara Weber, & Ralph Bergmann. (2022). Integrating process management and event processing in smart factories: A systems architecture and use cases. Journal of Manufacturing Systems. 63. 575–592. 23 indexed citations

10.

Bergmann, Ralph, et al.. (2022). KI 2022: Advances in Artificial Intelligence. Lecture notes in computer science.

11.

Malburg, Lukas, et al.. (2021). Object Detection for Smart Factory Processes by Machine Learning. Procedia Computer Science. 184. 581–588. 21 indexed citations

12.

Malburg, Lukas, et al.. (2021). Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning. SHILAP Revista de lepidopterología. 34(1).

13.

Malburg, Lukas, et al.. (2019). FTOnto: A Domain Ontology for a Fischertechnik Simulation Production Factory by Reusing Existing Ontologies.. 253–264. 11 indexed citations

14.

Bergmann, Ralph, et al.. (2019). ProCAKE: A Process-Oriented Case-Based Reasoning Framework.. 156–161. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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